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Found 3 papers, 2 papers with code
Multiple Object Tracking from appearance by hierarchically clustering tracklets
Current approaches in Multiple Object Tracking (MOT) rely on the spatio-temporal coherence between detections combined with object appearance to match objects from consecutive frames.
Ranked #10 on
Multi-Object Tracking
on MOT17
Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation
In this work, we show that trajectory estimation can become a key factor for tracking, and present TrajE, a trajectory estimator based on recurrent mixture density networks, as a generic module that can be added to existing object trackers.
Ranked #25 on
Multi-Object Tracking
on MOT17
(MOTA metric)
RVOS: End-to-End Recurrent Network for Video Object Segmentation
Multiple object video object segmentation is a challenging task, specially for the zero-shot case, when no object mask is given at the initial frame and the model has to find the objects to be segmented along the sequence.
Ranked #1 on
One-shot visual object segmentation
on YouTube-VOS
